Computational Model Library

Displaying 9 of 29 results feedback clear search

Endogenous Dynamics of Housing Market Cycles

Birnur Özbaş Onur Özgün Yaman Barlas | Published Monday, September 09, 2013 | Last modified Wednesday, January 08, 2014

The purpose of this model is to analyze the dynamics of endogenously created oscillations in housing prices using a system dynamics simulation model, built from the perspective of construction companies.

01a ModEco V2.05 – Model Economies – In C++

Garvin Boyle | Published Monday, February 04, 2013 | Last modified Friday, April 14, 2017

Perpetual Motion Machine - A simple economy that operates at both a biophysical and economic level, and is sustainable. The goal: to determine the necessary and sufficient conditions of sustainability, and the attendant necessary trade-offs.

code for graphical output

Mert Edali Hakan Yasarcan | Published Wednesday, November 05, 2014

This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.

The Evolution of Cooperation in an Ecological Context

Oyita Udiani | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013

This is a replication of the altruistic trait selection model described in Pepper & Smuts (2000, 2002).

We construct an agent-based model to investigate and understand the roles of green attachment, engagement in local ecological investment (i.e., greening), and social feedback.

Forager mobility and interaction

L S Premo | Published Thursday, January 10, 2013 | Last modified Saturday, April 27, 2013

This is a relatively simple foraging-radius model, as described first by Robert Kelly, that allows one to quantify the effect of increased logistical mobility (as represented by increased effective foraging radius, r_e) on the likelihood that 2 randomly placed central place foragers will encounter one another within 5000 time steps.

Feedback Loop Example: Wildland Fire Spread

James Millington | Published Friday, December 21, 2012 | Last modified Saturday, April 27, 2013

This model is a replication of that described by Peterson (2002) and illustrates the ‘spread’ feedback loop type described in Millington (2013).

Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping

Displaying 9 of 29 results feedback clear search

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